scholarly journals Optimized Portfolios: All Seasons Strategy

2020 ◽  
Author(s):  
Raúl D. Navas ◽  
Sónia R. Bentes ◽  
Helena V. G. Navas
Keyword(s):  
Financial Crisis ◽  
Efficient Frontier ◽  
Optimal Investment ◽  
Excess Returns ◽  
Linear Solver ◽  
Reduce Risk ◽  
Diversified Portfolio

Our study explores the efficient frontier of optimal investment, taking behind the Markowitz’s theory, while advocating a diversified portfolio to reduce risk. To perform it, six portfolio models are proposed, and its formation are made by a solver, where the selected solving method is the GRG Nonlinear engine for linear solver problems. Our main goal is to design portfolios that resists to financial crisis but at the same time persists in a wealthy period. We analyze the decade where we assisted to two crashes (2000–2010) and a semi-decade where we assist to a wealthy period (2011–2018). The assets used are varied, such as Equities indexes form various countries, sector equities, bonds, commodities, EURUSD exchange and VIX. Results show that the GRG Nonlinear engine is powerful, providing excess returns in all six models.

Optimal investment risks management strategies of an economy in a financial crisis

2018 ◽  
Vol 05 (01) ◽  
pp. 1850003 ◽  
Author(s):  
Charles I. Nkeki
Keyword(s):  
Financial Crisis ◽  
Stock Returns ◽  
Linear Combination ◽  
Stock Exchange ◽  
Management Strategies ◽  
Efficient Frontier ◽  
Real Data ◽  
Optimal Investment ◽  
Lagrangian Multiplier ◽  
Investment Portfolio

In this paper, we consider a strategic management of investment risks of an economy that faces financial crisis. The assets consider are multiple stocks and multiple fixed assets. Asset of the economy is a linear combination of portfolio weights and the expected stock returns plus a linear combination of the price of fixed and quantities of assets. Also, the debt profile, consumption and income growth of the economy are studied. The resulting optimization problem was solved by the method of Lagrangian multiplier. The aims of this paper are to determine the (i) mean–variance investment portfolio of the economy, (ii) optimal investment of the economy, (ii) optimal debt ratio of the economy, (iii) efficient frontier for the economy (iv) global minimum risks in the investment portfolio. Empirical results using real data collected from Nigerian Stock Exchange are considered.

Return Characteristics of Commodities

2018 ◽  
Author(s):  
Dianna Preece
Keyword(s):  
Financial Crisis ◽  
Negative Correlation ◽  
Institutional Investors ◽  
Financial Stress ◽  
Commodity Futures ◽  
Futures Contracts ◽  
The Subject ◽  
Diversified Portfolio

The role of commodities in a diversified portfolio has been the subject of research and debate since the late 1970s. Investors can hold the physical commodity or use derivatives such as futures contracts to access commodity exposure. Institutional investors primarily gain exposure to commodities via futures contracts. Commodity futures returns are comprised of a collateral return, a spot return, and a roll return. Research dating back to the late 1970s suggests that commodities should be included in diversified portfolios because they act as an inflation hedge, are portfolio diversifiers due to negative correlation with stocks and bonds, and potentially offer returns and volatility comparable to equities. Commodity performance has been generally weak in the years following the financial crisis of 2007–2008. Many studies find that correlation of commodity returns with stocks and bonds increases during periods of financial stress.

Mean-variance portfolio selection with an uncertain exit-time in a regime-switching market

2019 ◽  
Vol 53 (4) ◽  
pp. 1171-1186
Author(s):  
Reza Keykhaei
Keyword(s):  
Portfolio Selection ◽  
Regime Switching ◽  
Exit Time ◽  
Efficient Frontier ◽  
Optimal Investment ◽  
Homogeneous Markov Chain ◽  
Investment Strategies ◽  
Special Cases ◽  
Mean Variance Portfolio ◽  
Mean Variance

In this paper, we deal with multi-period mean-variance portfolio selection problems with an exogenous uncertain exit-time in a regime-switching market. The market is modelled by a non-homogeneous Markov chain in which the random returns of assets depend on the states of the market and investment time periods. Applying the Lagrange duality method, we derive explicit closed-form expressions for the optimal investment strategies and the efficient frontier. Also, we show that some known results in the literature can be obtained as special cases of our results. A numerical example is provided to illustrate the results.

DYNAMIC MEAN-VARIANCE OPTIMIZATION UNDER CLASSICAL RISK MODEL WITH FRACTIONAL BROWNIAN MOTION PERTURBATION

2008 ◽  
Vol 11 (04) ◽  
pp. 589-602 ◽  
Author(s):  
HUAYUE ZHANG ◽  
LIHUA BAI
Keyword(s):  
Brownian Motion ◽  
Fractional Brownian Motion ◽  
Risk Model ◽  
Efficient Frontier ◽  
Optimal Investment ◽  
Risk Process ◽  
Classical Risk Model ◽  
Classical Risk Process ◽  
Optimal Investment Problem ◽  
Mean Variance

In this paper, we apply the completion of squares method to study the optimal investment problem under mean-variance criteria for an insurer. The insurer's risk process is modelled by a classical risk process that is perturbed by a standard fractional Brownian motion with Hurst parameter H ∈ (1/2, 1). By virtue of an auxiliary process, the efficient strategy and efficient frontier are obtained. Moreover, when H → 1/2+ the results converge to the corresponding (known) results for standard Brownian motion.

scholarly journals Optimal reinsurance and investment strategies for an insurer under monotone mean-variance criterion

2021 ◽  
Author(s):  
Bohan Li ◽  
Junyi Guo
Keyword(s):  
Optimal Strategy ◽  
Efficient Frontier ◽  
Optimal Investment ◽  
Capital Asset Pricing ◽  
Investment Strategies ◽  
Asset Pricing Model ◽  
Optimal Value ◽  
Hamilton Jacobi Bellman ◽  
Zero Sum ◽  
Mean Variance

This paper considers the optimal investment-reinsurance problem under the monotone mean-variance preference. The monotone mean-variance preference is a monotone version of the classical mean-variance preference. First of all, we reformulate the original problem as a zero-sum stochastic differential game. Secondly, the optimal strategy and the optimal value function for the monotone mean-variance problem are derived by the approach of dynamic programming and the Hamilton-Jacobi-Bellman-Isaacs equation. Thirdly, the efficient frontier is obtained and it is proved that the optimal strategy is an efficient strategy. Finally, the continuous-time monotone capital asset pricing model is derived.

scholarly journals Mean-Variance Portfolio Selection for Defined-Contribution Pension Funds with Stochastic Salary

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Chubing Zhang
Keyword(s):  
Portfolio Selection ◽  
Closed Form Solution ◽  
Efficient Frontier ◽  
Optimal Investment ◽  
Pension Funds ◽  
Form Solution ◽  
Defined Contribution ◽  
Time Dynamic ◽  
Mean Variance Portfolio ◽  
Mean Variance

This paper focuses on a continuous-time dynamic mean-variance portfolio selection problem of defined-contribution pension funds with stochastic salary, whose risk comes from both financial market and nonfinancial market. By constructing a special Riccati equation as a continuous (actually a viscosity) solution to the HJB equation, we obtain an explicit closed form solution for the optimal investment portfolio as well as the efficient frontier.

scholarly journals Hybrid quantum investment optimization with minimal holding period

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Samuel Mugel ◽  
Mario Abad ◽  
Miguel Bermejo ◽  
Javier Sánchez ◽  
Enrique Lizaso ◽  
...  
Keyword(s):  
Real Life ◽  
Efficient Frontier ◽  
Optimal Investment ◽  
Holding Period ◽  
Life Problems ◽  
Investment Optimization ◽  
Quantum Processor ◽  
Trading Period ◽  
Dynamic Portfolio ◽  
Dynamic Portfolio Optimization

AbstractIn this paper we propose a hybrid quantum-classical algorithm for dynamic portfolio optimization with minimal holding period. Our algorithm is based on sampling the near-optimal portfolios at each trading step using a quantum processor, and efficiently post-selecting to meet the minimal holding constraint. We found the optimal investment trajectory in a dataset of 50 assets spanning a 1 year trading period using the D-Wave 2000Q processor. Our method is remarkably efficient, and produces results much closer to the efficient frontier than typical portfolios. Moreover, we also show how our approach can easily produce trajectories adapted to different risk profiles, as typically offered in financial products. Our results are a clear example of how the combination of quantum and classical techniques can offer novel valuable tools to deal with real-life problems, beyond simple toy models, in current NISQ quantum processors.

16. Loan Sales and Securitization

2018 ◽  
Author(s):  
Ross Cranston ◽  
Emilios Avgouleas ◽  
Kristin van Zweiten ◽  
Theodor van Sante ◽  
Christoper Hare
Keyword(s):  
Financial Crisis ◽  
Credit Card ◽  
Global Financial Crisis ◽  
Capital Requirements ◽  
Loan Sales ◽  
Reduce Risk ◽  
The Global Financial Crisis ◽  
Contractual Rights

This chapter examines one context in which contracts and debts are transferred — as banks and bank subsidiaries ‘sell’ their own assets, i.e. their loans, mortgages, credit card receivables, and so on. Commercially speaking, this divides into loan sales and securitization. Among the various motivations for these transactions are to reduce risk, to meet capital requirements, to allow for new lending, and to take advantage of financial and commercial opportunities. Securitization was abused, with many risky loans repackaged and sold as highly rated securities. Its contribution to the global financial crisis in 2008 made it unpopular. However, it remains significant as a financing technique. Before examining loan sales and securitization, the chapter lays out the different legal techniques for transferring debts and contractual rights.

scholarly journals Can Taxes Tame the Banks? Evidence from the European Bank Levies

2019 ◽  
Vol 129 (624) ◽  
pp. 3058-3091 ◽  
Author(s):  
Michael Devereux ◽  
Niels Johannesen ◽  
John Vella
Keyword(s):  
Financial Crisis ◽  
Financial Stability ◽  
Total Risk ◽  
2008 Financial Crisis ◽  
Balance Sheets ◽  
Behavioural Responses ◽  
European Bank ◽  
Equity Funding ◽  
Reduce Risk ◽  
The Impact

Abstract Following the 2007–2008 financial crisis, a large number of countries introduced levies on bank borrowing intended to reduce risk in the financial sector. This article studies the behavioural responses to bank levies and finds that banks exposed to levies increased their reliance on equity funding, but at the same time increased the risk of their assets; banks shifted risk from the liability side of their balance sheets to the asset side, which mitigated the impact of government intervention. Our analysis also shows that any reduction in total risk was concentrated among banks that pose no or little threat to financial stability.

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